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Feed Items

Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI. 2.0 Flash-Lite offers improved performance over 1.5 Flash across reasoning, multimodal, math and factuality benchmarks. For projects that require long context windows, 2.0 Flash-Lite is an even more cost-effective solution, with simplified pricing...
The Google AI Developers Community Spotlight Contest is seeking innovative, diverse projects using Google's AI tools like Gemini and Gemma to create code repositories, videos, documentation, and more.
PaliGemma 2 mix, an upgraded vision-language model, is now available, offering capabilities like image captioning, OCR, and object detection in various sizes.
Langbase empowers developers to build and deploy powerful, scalable AI agents by leveraging the Google Gemini API, particularly Gemini 1.5 Flash, unlocking a new era of intelligent applications and streamlined workflows.
A practical guide to constructing a Gemma 2-based Agentic AI system – a type of AI that can make its own decisions and use external tools to achieve goals – that can generate dynamic content for a fictional game world.
Google I/O returns May 20-21. Watch the livestreams for updates on Android, AI, web, and cloud. Registration is open on the Google I/O website.
Imagen 3 – now available in Google AI Studio and the Gemini API – offers developers state-of-the-art image generation with brighter, better-composed images in diverse styles, and simplified image generation through text prompts.
The Gemini 2.0 model family is seeing significant updates, including the release of Gemini 2.0 Flash, which is now production-ready and boasts higher rate limits, enhanced performance, and simplified pricing. Developers can also start testing an updated experimental version of Gemini 2.0 Pro today. Additionally, a new variant called Gemini 2.0 Flash-Lite, specifically designed for large-scale...
Vertex AI RAG Engine, a managed orchestration service, streamlines the process of retrieving and feeding relevant information to Large Language Models. This enables developers to build robust, grounded generative AI apps that ensure responses are factually grounded.
The Google AI Developers Community Spotlight Contest is seeking innovative, diverse projects using Google's AI tools like Gemini and Gemma to create code repositories, videos, documentation, and more.